NASDAQ:SFT
Delisted
Shift Technologies, Inc. Stock Price (Quote)
$0.170
+0 (+0%)
At Close: Jan 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.170 | $0.170 | Wednesday, 17th Jan 2024 SFT stock ended at $0.170. During the day the stock fluctuated 0% from a day low at $0.170 to a day high of $0.170. |
90 days | $0.170 | $0.170 | |
52 weeks | $0.100 | $2.63 |
Date | Open | High | Low | Close | Volume |
Jan 18, 2023 | $0.211 | $0.211 | $0.187 | $0.195 | 1 906 500 |
Jan 17, 2023 | $0.208 | $0.220 | $0.185 | $0.206 | 6 327 607 |
Jan 13, 2023 | $0.226 | $0.230 | $0.200 | $0.218 | 5 254 844 |
Jan 12, 2023 | $0.224 | $0.238 | $0.200 | $0.216 | 10 265 800 |
Jan 11, 2023 | $0.225 | $0.250 | $0.222 | $0.224 | 2 472 200 |
Jan 10, 2023 | $0.230 | $0.236 | $0.222 | $0.224 | 778 942 |
Jan 09, 2023 | $0.228 | $0.247 | $0.220 | $0.220 | 1 727 439 |
Jan 06, 2023 | $0.249 | $0.250 | $0.221 | $0.228 | 1 137 900 |
Jan 05, 2023 | $0.250 | $0.252 | $0.212 | $0.243 | 2 868 608 |
Jan 04, 2023 | $0.164 | $0.315 | $0.163 | $0.252 | 19 989 478 |
Jan 03, 2023 | $0.154 | $0.168 | $0.152 | $0.160 | 1 696 159 |
Dec 30, 2022 | $0.140 | $0.150 | $0.135 | $0.149 | 2 652 104 |
Dec 29, 2022 | $0.132 | $0.149 | $0.131 | $0.143 | 2 538 300 |
Dec 28, 2022 | $0.140 | $0.148 | $0.130 | $0.134 | 1 762 326 |
Dec 27, 2022 | $0.162 | $0.162 | $0.141 | $0.144 | 2 394 343 |
Dec 23, 2022 | $0.160 | $0.166 | $0.153 | $0.162 | 1 665 244 |
Dec 22, 2022 | $0.159 | $0.162 | $0.140 | $0.153 | 2 813 797 |
Dec 21, 2022 | $0.161 | $0.180 | $0.158 | $0.159 | 1 581 926 |
Dec 20, 2022 | $0.180 | $0.186 | $0.161 | $0.162 | 2 278 276 |
Dec 19, 2022 | $0.188 | $0.190 | $0.178 | $0.178 | 2 230 135 |
Dec 16, 2022 | $0.200 | $0.210 | $0.188 | $0.191 | 3 494 681 |
Dec 15, 2022 | $0.214 | $0.221 | $0.200 | $0.211 | 1 495 023 |
Dec 14, 2022 | $0.225 | $0.236 | $0.213 | $0.214 | 2 041 720 |
Dec 13, 2022 | $0.239 | $0.255 | $0.221 | $0.224 | 2 803 673 |
Dec 12, 2022 | $0.300 | $0.300 | $0.220 | $0.234 | 3 364 510 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use SFT stock historical prices to predict future price movements?
Trend Analysis: Examine the SFT stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the SFT stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.